DocumentCode :
831274
Title :
Modeling the effects of electric fields on nerve fibers: Determination of excitation thresholds
Author :
Warman, Eduardo N. ; Grill, Warren M. ; Durand, Dominique
Author_Institution :
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Volume :
39
Issue :
12
fYear :
1992
Firstpage :
1244
Lastpage :
1254
Abstract :
A method for predicting excitation of axons based on the response of passive models is proposed. An expression describing the transmembrane potential induced in passive models to an applied electric field is presented. Two terms drive the polarization of each node: a source term described by the activating function at the node, and an ohmic term resulting from redistribution of current from sources at other nodes. It is shown that a total equivalent driving function including both terms can be used to provide predictions of excitation thresholds for any applied field. The method requires only knowledge of the intracellular strength-duration relationship of the axon, the passive step response of the axon to an intracellular current, and the values of the extracellular potentials. Excitation thresholds for any given applied field can then be calculated using a simple algebraic expression. This method eliminates the errors associated with use of the activating function alone, and greatly reduces the computation required.
Keywords :
bioelectric phenomena; biological effects of fields; electric field effects; neurophysiology; physiological models; activating function; axon excitation prediction method; current redistribution; excitation thresholds; intracellular strength-duration relationship; nerve fibers; node polarization; ohmic term; simple algebraic expression; total equivalent driving function; Capacitance; Conductivity; Ear; Electrodes; Extracellular; Geometry; Nerve fibers; Optical fiber polarization; Predictive models; Virtual manufacturing; Anisotropy; Computer Simulation; Electric Conductivity; Electrodes; Electromagnetic Fields; Membrane Potentials; Models, Neurological; Nerve Fibers; Recruitment, Neurophysiological;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/10.184700
Filename :
184700
Link To Document :
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